Triple
T24792000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Beach Street Circuit |
E620273
|
entity |
| Predicate | hasGrandPrixNameSponsor |
P15097
|
FINISHED |
| Object | Toyota Grand Prix of Long Beach |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Toyota Grand Prix of Long Beach | Statement: [Long Beach Street Circuit, hasGrandPrixNameSponsor, Toyota Grand Prix of Long Beach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGrandPrixNameSponsor Context triple: [Long Beach Street Circuit, hasGrandPrixNameSponsor, Toyota Grand Prix of Long Beach]
-
A.
grandPrixName
Indicates the official name assigned to a particular Grand Prix event.
-
B.
hasGrandPrixStatus
Indicates that an event or competition holds official Grand Prix classification or status.
-
C.
GrandPrixTitle
Indicates that an entity has won a championship or overall title in a Grand Prix competition or series.
-
D.
sponsorshipName
chosen
Indicates the name or title associated with a sponsorship relationship between entities.
-
E.
homeGrandPrix
Indicates that a particular Grand Prix event is considered the home race for a given driver, team, or country.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2fabe77c8819085f7ce6486248139 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 4:47 a.m.